In the first episode of the Decision Intelligence Lab podcast, hosts Vijay Mehrotra and Michael Watson interview Dr. Irv Lustig from Princeton Consultants about the Princeton 20, a framework for identifying and mitigating AI and Optimization project risks. This evaluation framework includes both business and technical factors, and is a valuable methodology for project discovery, effective selling, and building and maintaining trust with clients. Chapters00:00 - Preview, & Introductions02:20 - The Princeton Twenty Framework Overview3:24 - How the Princeton Twenty Is Used In Practice7:10 - Client Perspectives on Risk Management8:27 - Overselling in Optimization and AI Projects11:11 - Understanding the Decision Scope (Environmental Factor 5)16:43 - Exploring Value Proposition (Environmental Factor 7)21:45 - Process Maturity (Technical Factor 10) and Ongoing Maintenance25:00 - Last Mile Problems in Decision Making30:33 - Broader Impact & Risk Tolerance 35:35 - Irv's RecommendationsFollow the showApple: https://podcasts.apple.com/in/podcast/the-decision-intelligence-lab/id1811085064Spotify: https://open.spotify.com/show/0lFoAVKqJHTYSZNpeN61ou?si=0ae973aab0174b3bConnect with guestIrv Lustig: https://www.linkedin.com/in/irv-lustig/Princeton 20: https://princetonoptimization.com/ai-project-management/Connect with hostsProf. Vijay Mehrotra (University of San Francisco): https://www.linkedin.com/in/vijay-mehrotra-ba9498/Prof. Michael Watson (Northwestern University): https://www.linkedin.com/in/michael-watson-07600a1About the podcastThe Decision Intelligence Lab podcast delivers real-world insights for data professionals, business leaders, and anyone seeking to leverage data & AI for smarter decision-making & successful business outcomes.For business inquiries, email at [email protected] 20, AI deployment, optimization, risk management, decision making, data science, consulting, project success, value proposition, process maturity, decision science, project management, technical factors, sales tool, client engagement, cost benefit analysis, value proposition, decision scope, process maturity, machine learning, change management, agile methodology, human-in-the-loop optimization, black box optimization, business problem framing, analytics framework, certified analytics professional, project delivery, solution deployment, operational scheduling, strategic consulting, informs analytics.

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